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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
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</script><span
style='text-align:left'><span style='font-size:73%'>The GeneNetwork and WebQTL
: PART 2<span style="mso-spacerun: yes">&nbsp;&nbsp; </span><br>
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style='text-align:left'><span style='font-size:73%'>link to www.genenetwork.org</span><span
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style='text-align:left'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3'>Part 1. How to study </span></span></layer><script>
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style='text-align:left'><span style='font-size:94%;color:#E9EB5D;mso-color-index:
3'>expression variation </span></span></layer><script>
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3'>and genetic correlation </span></span></layer><script>
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3'>(slides 2&#8211;17)<br>
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color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
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3'>(slides 18&#8211;29)</span></span></layer></div>

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  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Part 2: Discovering
   upstream modulators and quantitative trait loci (QTLs). A quantitative trait
   locus is a chromosomal region that harbors one or a few polymorphic gene
   loci that influence a trait. We are going to be looking for QTLs that
   modulate the steady state expression level of App in the adult mouse
   forebrain.</font><br>
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